1. ARTIFICIAL INTELLIGENCE FOR TACKLING CLIMATE CHANGE AND CONTROLLING SYSTEM (AICOST).
Key words: Artificial intelligence, Big data, Disaster management, Climate change; GIS and remote sensing; system optimization and control.
Research directions:
- Analysing and predicting the damage of a disaster; Developing automatic disaster warning systems (for fires, flash flood, landslide, etc. with the data collected from satellite images, rainfall, topography); Proposing prevention measures of disasters risk reduction
- Using AI models or AI/Hydrology/Hydraulic models combined with satellite images and GIS tools to forecast and warn flood, drought, salt intrusion.
- Forecasting rainfall, downscaling rainfall data, measuring and connecting data using IoT and UAV.
- Applying AI in optimizing disaster management and irrigation management
- Applying AI in evaluating and monitoring the safety of irrigation headworks
- Solving problems of forecasting forest fire risks, classifying green cover using satellite images, remote sensing, GIS tools and other advanced AI algorithms
- Other issues concerning AI, climate change, water resources, etc.
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TEAM MEMBERS
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No
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Full name
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Organization
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Position
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1
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Assoc.Prof. Nguyễn Thanh Tùng
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Faculty of Computer Science and Engineering, Thuyloi University
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Team leader
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2
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Dr. Trần Mạnh Tuấn
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Faculty of Computer Science and Engineering, Thuyloi University
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Key member
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3
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Dr. Lã Phú Hiến
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Faculty of Water Resources Engineering, Thuyloi University
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Key member
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4
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Assoc.Prof. Hoàng Thanh Tùng
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Faculty of Water Resources Engineering, Thuyloi University
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Member
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5
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Assoc.Prof. Ngô Văn Quận
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Faculty of Water Resources Engineering, Thuyloi University
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Member
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6
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Assoc.Prof. Lê Hoàng Sơn
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Vietnam National University, Hanoi
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Member
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7
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Dr. Đinh Thị Hải Vân
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Vietnam Academy of Agriculture
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Member
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8
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Dr. Lê Xuân Hiền
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Faculty of Water Resources Engineering, Thuyloi University
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Member
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9
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Assoc.Prof. Qu Qiang
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Shenzhen Institute of Advanced Technology (SIAT)
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Member
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10
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MSc. Kiều Tuấn Dũng
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Faculty of Computer Science and Engineering, Thuyloi University
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Member
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2. MACHINE LEARNING TECHNIQUES AND INTELLIGENT CONTROL (MLIC)
Key words: Machinery and control
Research directions:
- Developing machine learning techniques for photo data
- Developing wireless sensor networks in IoT architecture, algorithms for controlling wireless sensor networks
- Applying modern control algorithms in controlling actuators
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TEAM MEMBERS
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No
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Full name
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Organization
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Position
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1
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Assoc.Prof. Nguyễn Hữu Quỳnh
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Faculty of Computer Science and Engineering, Thuyloi University
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Team leader
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2
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Dr. Mai Văn Lập
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Faculty of Electrical and Electronic Engineering, Thuyloi University
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Key member
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3
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Dr. Nguyễn Trọng Thắng
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Faculty of Electrical and Electronic Engineering, Thuyloi University
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Key member
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4
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Dr. Đào Thị Thúy Quỳnh
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Faculty of Computer Science and Engineering, Posts and Telecommunications Institute of Technology
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Member
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5
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Dr. Đỗ Văn Hải
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Faculty of Computer Science and Engineering, Thuyloi University
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Member
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6
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Dr. Hoàng Quang Trung
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Faculty of Electrical and Electronic Engineering, Thuyloi University
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Member
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7
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MSc. Cù Việt Dũng
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Faculty of Computer Science and Engineering, Thuyloi University
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Member
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8
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MSc. Nguyễn Đức Minh
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Faculty of Electrical and Electronic Engineering, Thuyloi University
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Member
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9
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Dr. Nguyễn Quỳnh Diệp
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Faculty of Computer Science and Engineering, Thuyloi University
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Member
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10
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Dr. Ngô Trường Giang
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Faculty of Computer Science and Engineering, Thuyloi University
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Member
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3. RESEARCH OF ORGANIC MATTER (ROOM)
Key words: assessment of residues and advanced handling of durable and persistent organic substances; treatment of easily biodegradable organic substances with environment-friendly and low-cost technologies
Research directions:
- Studying pollution and risks of PTS in gas and dust environments
- Studying the effects of contamination of PTS in Cau Bay sediment, Hanoi
- Studying the pollution of PTS substances in the water of Kim Nguu River, Hanoi and mitigation measures
- Researching the residues and risks of PTS in some species in Ho Tay, Hanoi
- Studying on solutions to treat organic matter pollution in domestic / animal wastewater
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TEAM MEMBERS
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No
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Full name
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Organization
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Position
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1
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Prof. Dr. Vũ Đức Toàn
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Faculty of Chemistry and Environment, Thuyloi University
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Team leader
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2
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Assoc.Prof. Bùi Quốc Lập
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Faculty of Chemistry and Environment, Thuyloi University
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Key member
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3
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Assoc.Prof. Dr. Nguyễn Thị Lan Hương
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Faculty of Chemistry and Environment, Thuyloi University
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Key member
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4
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Dr. Nguyễn Hoài Nam
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Faculty of Chemistry and Environment, Thuyloi University
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Member
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5
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Dr. Đinh Thị Lan Phương
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Faculty of Chemistry and Environment, Thuyloi University
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Member
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6
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Assoc.Prof.Dr. Từ Bình Minh
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Faculty of Chemistry, VNU University of Science, Vietnam National University, Hanoi
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Member
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7
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Assoc.Prof.Dr. Dương Thị Thủy
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Institute of Environmental Technology, Vietnam Academy of Science and Technology
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Member
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8
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Assoc.Prof. Bùi Thị Kim Anh
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Institute of Environmental Technology, Vietnam Academy of Science and Technology
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Member
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9
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Tô Xuân Quỳnh
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Faculty of Labour Protection, Trade Union University
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Member
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10
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Nguyễn Tiến Dũng
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Center of Science, Technology and Environment, Vietnam Cooperative Alliance
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Member
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11
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MSc. Vũ Thu Huyền
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Faculty of Marine Science and Island, Hanoi University of Natural Resources and Environment
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Member
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4. GIS AND REMOTE SENSING APPLICATION (GRAT)
Key words: Water resources
Research directions:
- Appling remote sensing to assess and forecast changes in land cover, land use and drought for big cities like Hanoi, Ho Chi Minh City, and Mekong Delta and Central region.
- Researching and developing solutions to use traffic camera systems to monitor and warn urban floods
- Using drones combined with fixed cameras for multi-scale evaluation to assess immediate flooding and subsidence for big cities like Hanoi, Ho Chi Minh City, Mekong Delta. Besides, drone technology can be applied to conduct surveys of project areas (scope, area, 3-dimensional model, etc.)
- Using images from fixed cameras, drones and satellite images combined with mathematical models to evaluate the morphology of estuaries, shorelines and reservoir sediments.
- Using remote sensing data, drone-support mathematical models to evaluate flooding in big cities such as Ho Chi Minh City, Can Tho, etc.
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TEAM MEMBERS
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No
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Full name
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Organization
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Position
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1
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Dr. Võ Công Hoang
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Ho Chi Minh campus, Thuyloi University
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Team leader
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2
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Dr. Dương Hải Thuận
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Ho Chi Minh campus, Thuyloi University
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Key member
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3
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Dr. Đặng Đồng Nguyên
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Ho Chi Minh campus, Thuyloi University
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Key member
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4
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Assoc.Prof. Trần Kim Châu
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Faculty of Water Resources Engineering, Thuyloi University
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Member
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5
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Dr. Lã Phú Hiến
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Faculty of Water Resources Engineering, Thuyloi University
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Member
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6
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Dr. Lê Thị Hòa Bình
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Ho Chi Minh campus, Thuyloi University
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Member
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7
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Dr. Đinh Văn Duy
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Ho Chi Minh campus, Thuyloi University
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Member
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